DockerParallel | Using the docker container to do parallel computing in R

DockerParallel is a R library. DockerParallel has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Parallel computing has became an important tool to analysis large and complex data. Using the parallel package to create local computing cluster is probably the most well-known method for the parallel computing in R's realm. As the advance of the cloud computing, there is a natural need to make R parallel compatible with the cloud. DockerParallel is a package that is designed for the cloud computation. It aims to provide easy-to-learn, highly scalable and low-cost tools to make the cloud computation possible. The core component of DockerParallel, as its name implies, is the docker container. Container is a technique to package up code and all its dependencies in a standard unit and run it in an isolated environment from the host OS. By containerizing R's worker node, DockerParallel can easily deploy hundreds of identical workers in a cloud environment regardless of the host hardware and OS that run the nodes. In this vignette, we will demonstrate how to use DockerParallel to run a cluster using Amazon Elastic Compute Service(ECS). The purpose of this vignette is providing the basic usage of the package for the user. For more information, please see the R markdown file advanced-topics and cookbook-for-developers.